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FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly
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While text-3D editing has made significant strides in leveraging score distillation sampling, emerging approaches still fall short in delivering separable, precise and consistent outcomes that are vital to content creation. In response, we introduce FocalDreamer, a framework that merges base shape with editable parts according to text prompts for fine-grained editing within desired regions. Specifically, equipped with geometry union and dual-path rendering, FocalDreamer assembles independent 3D parts into a complete object, tailored for convenient instance reuse and part-wise control. We propose geometric focal loss and style consistency regularization, which encourage focal fusion and congruent overall appearance. Furthermore, FocalDreamer generates high-fidelity geometry and PBR textures which are compatible with widely-used graphics engines. Extensive experiments have highlighted the superior editing capabilities of FocalDreamer in both quantitative and qualitative evaluations.
Forward citations
Cited by 3 Pith papers
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3D PixBrush: Image-Guided Local Texture Synthesis
A method that uses a reference image to automatically predict a localization mask and synthesize a matching local texture on a 3D mesh.
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Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing
RL3DEdit fine-tunes FLUX-Kontext with GRPO using VGGT confidence and pose rewards to produce multi-view consistent 3D scene edits in a single pass.
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Rethinking Score Distilling Sampling for 3D Editing and Generation
UDS unifies text-to-3D generation and 3D editing with a single score-distillation gradient formula that replaces noise with clean-latent estimates, reporting higher CLIP scores and user preference than prior SDS variants.
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